Police officer occupational health: a model of organizational constraints, trauma exposure, perceived resources, and agency.

Background: Police officers constitute a work force at high risk due to their highly demanding work conditions. In a realistic paradigm, these conditions, and other determinants of their psychological health, can be linked to a multitude of variables that interplay altogether. However, current literature that simultaneously models-quantitatively from observed data-such a multitude of variables is sparse.

The development and validation of the beliefs about Baby Crying at Night (BBCN) scale.

Objective: What are young children trying to express when they cry at night? According to Sadeh, parental beliefs about why their child is crying may play a role in the development and persistence of their child's insomnia. The aim of this study was to create a scale that specifically assesses these parental interpretations in different dimensions.

Methods: Children aged between 6 months and 3 years with either good sleep habits or behavioural insomnia were recruited.

Evidence for a competitive relationship between executive functions and statistical learning.

The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe-related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also possess a competitive relationship with implicit statistical learning across individuals and at the level of latent executive function components. In order to address this currently unknown aspect, we investigated, in two independent experiments (N = 186, N = 157), the relationship between implicit statistical learning, measured by the Alternating Serial Reaction Time task, and executive functions, measured by multiple neuropsychological tests.

Impact of confrontation to patient suffering and death on wellbeing and burnout in professionals: a cross-sectional study.

Background: Palliative care and oncology generate a risk of burnout and psychological distress in professionals. The purpose of this study is to identify both psychopathological and positive factors related to mental health at work. It aims (i) to explore the extent to which these professionals are confronted with suffering, illness, and death; and to explore the prevalence of psychological distress and/or burnout, (ii) to identify potential determinants of burnout and psychological wellbeing at work, (iii) to develop an integrative model of mental health; and to identify frequency and impact of confrontations with death, and (iv) to identify profiles of professionals are at risk of developing a mental health disorder or, conversely, characterized by wellbeing.

Are thoughts and behaviours of individuals with schizophrenia more susceptible to being influenced during pandemic situations? A glimpse provided by the COVID-19 pandemic.

Individuals with psychotic disorders such as schizophrenia may be more vulnerable during pandemics, but research on this topic is limited. This study examined COVID-19 impact on a population affected by schizophrenia during the COVID-19 pandemic. Levels of psychological distress and COVID-19-related behaviours, from the COVID-related Thoughts and Behavioral Symptoms (Cov-Tabs) Scale, were compared between 107 patients with schizophrenia and 70 control participants.

Validation of the French COVID-Related Thoughts and Behavioral Symptoms Questionnaire (Cov-Tabs): A self-report assessment.

Objectives: The COVID-Related Thoughts and Behavioral Symptoms (Cov-Tabs) is a self-reported questionnaire developed to identify the presence of psychological distress and anxiety-related behavior associated with COVID-19. This scale has been used since the first episodes of mass contamination of COVID-19 disease in the USA without psychometric validation analysis. The objective of this paper is to validate the French version of the Cov-TaBS.

Validation and Psychometric Properties of the German Operational and Organizational Police Stress Questionnaires.

Context: Working in the police force is an operationally and organizationally stressful job. Suitable psychometric tools are needed to detect and study the psychosocial risks of these professionals. The original version contains 40 items, which may be too long for clinical use or as a research control measure.

The Oxford Utilitarianism Scale: Psychometric properties of a French adaptation (OUS-Fr).

It is well established that one's sense of morality may be readily influenced by one's culture, education, and life situation. Very few psychometric tools are currently available to measure facets of human morality in different cultures. Therefore, the purpose of the present study was to develop a French adaptation of the Oxford Utilitarianism Scale (OUS-Fr) and formally evaluate its validity.

What's morphology got to do with it: Oral reading fluency in adolescents with dyslexia.

Individuals with dyslexia often present phonological difficulties, ultimately impacting their reading and writing. Nevertheless, an individual with dyslexia may circumvent these difficulties through a reliance on linguistic units with more consistent spellings, such as morphemes. The increased use of morphological information by individuals with dyslexia has been argued to be a form of compensation.

Profiling Police Forces against Stress: Risk and Protective Factors for Post-Traumatic Stress Disorder and Burnout in Police Officers.

Police officers are frequently exposed to highly stressful situations at work and have an increased risk to develop symptoms of post-traumatic stress disorder (PTSD) and burnout (BO). It is currently not well understood which officers are most at risk to develop these disorders. The aim of this study was to determine which coping strategies and personality traits could act as protective or risk factors in relation to PTSD and BO.

The Interaction between Lockdown-Specific Conditions and Family-Specific Variables Explains the Presence of Child Insomnia during COVID-19: A Key Response to the Current Debate.

It is still debated whether lockdown conditions in response to the coronavirus disease 2019 (COVID-19) health crisis seriously affected children's sleep. For young children, some studies identified more insomnia, while others only transient disturbances, or even no effect. Based on the premise of mother-child synchrony, a well-known dynamic established in child development research, we hypothesized that principally, the children whose mothers perceived the lockdown as stressful and/or responded maladaptively, suffered sleep disturbances.

Cognitive Behavioral Therapy and Acceptance and Commitment Therapy for the Discontinuation of Long-Term Benzodiazepine Use in Insomnia and Anxiety Disorders.

Benzodiazepines have proven to be highly effective for treating insomnia and anxiety. Although considered safe when taken for a short period of time, a major risk-benefit dilemma arises in the context of long-term use, relating to addiction, withdrawal symptoms, and potential side effects. For these reasons, benzodiazepines are not recommended for treating chronic sleep disorders, anxiety disorders, nor for people over the age of 65, and withdrawal among long-term users is a public health issue.

Screen exposure exacerbates ADHD symptoms indirectly through increased sleep disturbance.

Objectives: The aim of this study was twofold. First, to confirm the deleterious aspect of evening screen exposure in school-aged children, in particular the effect of screens in the bedroom. Second, to explore the three-way association between degree of screen exposure, sleep disturbance, and ADHD symptoms.

Improving reading skills in children with dyslexia: efficacy studies on a newly proposed remedial intervention-repeated reading with vocal music masking (RVM).

In this work, two different studies are examined to evaluate the effectiveness of a novel intervention program for the improvement of reading ability in children with dyslexia, known as repeated reading with vocal music masking (RVM). The proposed remedial approach is inspired by Breznitz's original work. The studies assess a 5-week program of intensive RVM training in a pre-post-test clinical paradigm, as well as a longitudinal paradigm where it is compared to 8 months of the standard remediation program (SRP).

Assessing model-based inferences in decision making with single-trial response time decomposition.

The latent psychological mechanisms involved in decision-making are often studied with quantitative models based on evidence accumulation processes. The most prolific example is arguably the drift-diffusion model (DDM). This framework has frequently shown good to very good quantitative fits, which has prompted its wide endorsement.

FANCat: French affective norms for ten emotional categories.

The present study develops key research for French word norms that combines the predominant theories of dimensional and discrete (or categorical) emotions. As a result, we provide the database FANCat, affective norms for a set of 1031 French words on ten discrete emotion categories: fear, anger, disgust, sadness, anxiety, awe, excitement, contentment, amusement, and serenity. FANCat complements a previous word set, FAN, which provides only the dimensional norms, valence, and arousal (Monnier & Syssau, 2014).

Multi-factor analysis in language production: Sequential sampling models mimic and extend regression results.

For multi-factor analyses of response times, descriptive models (e.g., linear regression) arguably constitute the dominant approach in psycholinguistics.

Cortical Dynamics of Semantic Priming and Interference during Word Production: An Intracerebral Study.

Language production requires that semantic representations are mapped to lexical representations on the basis of the ongoing context to select the appropriate words. This mapping is thought to generate two opposing phenomena, "semantic priming," where multiple word candidates are activated, and "interference," where these word activities are differentiated to make a goal-relevant selection. In previous neuroimaging and neurophysiological research, priming and interference have been associated to activity in regions of a left frontotemporal network.

Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection.

Patients with lesions in the left prefrontal cortex (PFC) have been shown to be impaired in lexical selection, especially when interference between semantically related alternatives is increased. To more deeply investigate which computational mechanisms may be impaired following left PFC damage due to stroke, a psychometric modelling approach is employed in which we assess the cognitive parameters of the patients from an evidence accumulation (sequential information sampling) modelling of their response data. We also compare the results to healthy speakers.

The relational luring effect: Retrieval of relational information during associative recognition.

Here we argue that semantic relations (e.g., works in: nurse-hospital) have abstract independent representations in long-term memory (LTM) and that the same representation is accessed by all exemplars of a specific relation.

The shifted Wald distribution for response time data analysis.

We propose and demonstrate the shifted Wald (SW) distribution as both a useful measurement tool and intraindividual process model for psychological response time (RT) data. Furthermore, we develop a methodology and fitting approach that readers can easily access. As a measurement tool, the SW provides a detailed quantification of the RT data that is more sophisticated than mean and SD comparisons.

Hierarchical Bayesian Modeling for Test Theory Without an Answer Key.

Cultural Consensus Theory (CCT) models have been applied extensively across research domains in the social and behavioral sciences in order to explore shared knowledge and beliefs. CCT models operate on response data, in which the answer key is latent. The current paper develops methods to enhance the application of these models by developing the appropriate specifications for hierarchical Bayesian inference.